SICK, Aeva Partner on Industrial Lidar

Sensing perception system developer Aeva has partnered with SICK AG, a provider of industrial sensing solutions and cameras, in a multiyear collaboration to bring Aeva’s frequency-modulated continuous-wave (FMCW) 4D lidar to a variety of industrial sensing applications, including long-range sensing, beginning with Aeva’s Aeries II 4D lidar-on-chip solution.

Aeva’s FMCW 4D lidar technology provides high dynamic range performance to perceive low and high reflectivity objects within the same measurement without edge effects, a joint press release announcing the agreement said. The technology is also reportedly immune to blooming and ghosting from retroflectors, meaning automated machines using Aeva’s 4D lidar will have clear perception when highly reflective objects such as safety vests, cones, and tape are in the field of view of the sensor.

Niels Syassen (left), member of the executive board at SICK, and Soroush Salehian, co-founder and CEO at Aeva. The companies are collaborating on 4D lidar for industrial sensing applications. Courtesy of SICK AG.

Aeva began shipping Aeries II to strategic customers in the quarter ending June 30, 2022.

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Published: August 2022

Glossary

lidar: Lidar, short for light detection and ranging, is a remote sensing technology that uses laser light to measure distances and generate precise, three-dimensional information about the shape and characteristics of objects and surfaces. Lidar systems typically consist of a laser scanner, a GPS receiver, and an inertial measurement unit (IMU), all integrated into a single system. Here is how lidar works: Laser emission: A laser emits laser pulses, often in the form of rapid and repetitive laser...
machine vision: Machine vision, also known as computer vision or computer sight, refers to the technology that enables machines, typically computers, to interpret and understand visual information from the world, much like the human visual system. It involves the development and application of algorithms and systems that allow machines to acquire, process, analyze, and make decisions based on visual data. Key aspects of machine vision include: Image acquisition: Machine vision systems use various...

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